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Both designs show good robustness towards parameter variations, while the nonlinear robust design performs better in terms of disturbance rejection.

The resonance frequency is most sensitive to length variations, while the mode linewidth shows greater change with the defect width variation.

The local distribution captures the local feature variations while the global distribution includes the information that is more robust to translational transform.

We preferred an asymmetrical pooling of 5 and 16 samples, in which the 5-plex pools are used to identify the variations, while the 16-plex to assign them to the single DNA samples.

The multi-channel design described here allows for a reference channel to compensate for bulk RI changes, non-specific binding, and minor temperature variations, while the temperature controller provides the temperature stability necessary for monitoring small changes in RI.

Within the technically relevant concentration range the reaction rates were nearly independent of O2 and H2O variations, while the NO2 concentration dependence followed a Langmuir Hinshelwood mechanism (saturation above ∼200 ppm).

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For example, in genome resequencing projects one can greatly reduce the dataset sizes by storing only genetic variations, while removing the bulk of the sequence information that only confirms what is already known (Fritz et al., 2011).

One also notices that across the central part of Southern Africa, all the models overestimate H secular variations, while in the north-western as well as the south-eastern part of the region, the models tend to underestimate observations (Fig. 8).

All 47 confirmed SNPs showed the expected nucleotide variations, while among the remaining 3 SNPs, 1 failed to amplify clearly by PCR, and 2 were a mixture of the expected allelic variations and homoeologous sequences.

It is important to use features that can well characterise a string pair by capturing the similarity between different variations while highlighting the difference between terms which are not synonymous.

Fusion of ZM and LBP descriptor performs better over the pose, expression, and illumination variations, while in the presence of noise, ZMs combined with LTP descriptor generate superior results.

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